Brian and Andy hosted episode 609 and opened with updates on platform issues, code red rumors, and the wider conversation around AI urgency. They started with a Guardian interview featuring Anthropics chief scientist Jared Kaplan, whose comments about self improving AI, white collar automation, and academic performance sparked a broader discussion about the pace of capability gains and long term risks. The news section then moved through Google’s workspace automation push, AWS Reinvent announcements, new OpenAI safety research, Mistral’s upgraded models, and China’s rapidly growing consumer AI apps.Key Points DiscussedJared Kaplan warns that AI may outperform most white collar work in 2 to 3 yearsKaplan says his child will never surpass future AIs in academic tasksPrometheus style AI self improvement raises long term governance concernsGoogle launches workspace.google.com for Gemini powered automation inside Gmail and DriveGemini 3 excels outside Docs, but integrated features remain weakAWS Reinvent introduces Nova models, new Nvidia powered EC2 instances, and AI factoriesNova 2 Pro competes with Claude Sonnet 4.5 and GPT 5.1 across many benchmarksAWS positions itself as the affordable, tightly integrated cloud option for enterprise AIMistral releases new MoE and small edge models with strong token efficiency gainsOpenAI publishes Confessions, a dual channel honesty system to detect misbehaviorDebate on deception, model honesty, and whether confessions can be gamedNvidia accelerates mixture of experts hardware with 10x routing performanceDiscussion on future AI truth layers, blockchain style verification, and real time fact checkingHosts see future models becoming complex mixes of agents, evaluators, and editorsTimestamps and Topics00:00:00 👋 Opening, code red rumors, Guardian interview01:06:00 ⚠️ Kaplan on AI self improvement and white collar automation03:10:00 🧠 AI surpassing human academic skills04:48:00 🎥 DeepMind’s Thinking Game documentary mentioned08:07:00 🔄 Plans for deeper topic discussion later09:06:00 🧩 Google’s workspace automation via Gemini10:55:00 📂 Gemini integrations across Gmail, Drive, and workflows12:43:00 🔧 Gemini inside Docs still underperforms13:11:00 🏗️ Client ecosystems moving toward gem based assistants14:05:00 🎨 Nano Banana Pro layout issues and sticker text problem15:35:00 🧩 Pulling gems into Docs via new side panel16:42:00 🟦 Microsoft’s complexity vs Google’s simplicity17:19:00 💭 Future plateau of model improvements for the average worker17:44:00 ☁️ AWS Reinvent announcements begin18:49:00 🤝 AWS and Nvidia deepen cloud infrastructure partnership20:49:00 🏭 AI factories and large Middle East deployments21:23:00 ⚙️ New EC2 inference clusters with Nvidia GB300 Ultra22:34:00 🧬 Nova family of models released23:44:00 🔬 Nova 2 Pro benchmark performance24:53:00 📉 Comparison to Claude, GPT 5.1, Gemini25:59:00 📦 Mistral 3 and Edge models added to AWS26:34:00 🌍 Equity and global access to powerful compute27:56:00 🔒 OpenAI Confessions research paper overview29:43:00 🧪 Training separate honesty channels to detect misbehavior30:41:00 🚫 Jailbreaking defenses and safety evaluations31:20:00 🧠 Complex future routing among agents and evaluators36:23:00 ⚙️ Nvidia mixture of experts optimization38:52:00 ⚡ Faster, cheaper inference through selective activation40:00:00 🧾 Future real time AI fact checking layers41:31:00 🔗 Blockchain style citation and truth verification43:13:00 📱 AI truth layers across devices and operating systems44:01:00 🏁 Closing, Spotify creator stats and community appreciationThe Daily AI Show Co Hosts: Brian Maucere and Andy Halliday
Full Episode
Hey, what's going on, everybody? Welcome to the Daily Eye Show. Today is 12-4-2025. Appreciate you being here. Thanks for people joining in the chat as well. Today, I'm joined by Andy and I'm Brian. We'll see if anybody else pops in here in a little bit. Andy, as always, we like to kick off with some of the news and then get into the deeper discussions.
Oh, I have way too many tabs open, but I had two different things that I wanted to kind of bring up. You know, we've been talking a lot lately about the red teaming and, you know, or not red teaming, rather the red alert that may or may not have been what? Code red. Code red, yeah.
Which may or may not have been what Sam Altman, you know, maybe that wasn't the wording he should have used on that instead of, you know, put focus here or something like that. Yeah. There were some pretty funny videos or reaction videos to that. But what I actually wanted to bring up was somebody we don't actually talk about that I don't believe we talk about a lot from Anthropic.
And this is Jared Kaplan. He is one of the co-founders of Anthropic. And so a lot of times we talk about Mario because he puts out quite a bit of, you know, he's on stages more often and stuff like that. But this is the chief scientist at AI. I'm sorry, at Anthropic. And he, you know, as Anthropic does, they talk about sort of the scary side of the future of AI. And there's this quote here.
This is from The Guardian that I'm reading it in. It says, if you can imagine if you can imagine you create this process where you have an AI that is smarter than you or about as smart as you. it's then making AI that's much smarter. And so this is sort of this Prometheus idea, right? This iterations.
And he's saying that he feels like we're maybe two, three years out, maybe a little bit more than that from us having to really decide, I don't know who's going to decide, like whether we want AI to learn from AI. And there's a couple of nice little quotes, little bullet points in here. And he says, you know, some of the things that he said,
AI systems will be capable of doing most white collar work in two to three years. Um, that's in quotes, most white, white collar work. And I think there's a lot to probably, uh, dig into that one, Andy, with all your experience and stuff in like maybe, um, he also said that a six year old son will never be better than an AI at academic work, such as writing an essay or doing a math exam.
And I thought that one was really striking, you know, as, um, You've got grandchildren now, but you've also got your own kids. I talk a lot about Sophia, who's 15. And it is that sort of like that interesting idea of, oh... they're in a world now where there will always be an AI that can do the thing that they're really good at better than they are, in most cases.
I mean, I know that's not across the board, right? He also said that it was right to worry about humans losing control of a technology if AI starts to improve itself, which we already just talked about. The stakes in the AI race to AGI feel, quote, daunting. This is from the chief scientist in Anthropic.
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